Large-scale machine learning systems in real-world industrial settings: A review of challenges and solutions

LE Lwakatare, A Raj, I Crnkovic, J Bosch… - Information and software …, 2020 - Elsevier
Background: Develo** and maintaining large scale machine learning (ML) based
software systems in an industrial setting is challenging. There are no well-established …

Malware dynamic analysis evasion techniques: A survey

A Afianian, S Niksefat, B Sadeghiyan… - ACM Computing Surveys …, 2019 - dl.acm.org
The cyber world is plagued with ever-evolving malware that readily infiltrate all defense
mechanisms, operate viciously unbeknownst to the user, and surreptitiously exfiltrate …

Security for Machine Learning-based Software Systems: A Survey of Threats, Practices, and Challenges

H Chen, MA Babar - ACM Computing Surveys, 2024 - dl.acm.org
The rapid development of Machine Learning (ML) has demonstrated superior performance
in many areas, such as computer vision and video and speech recognition. It has now been …

Security and privacy challenges of deep learning: A comprehensive survey

JA Onesimu, J Karthikeyan, DSJ Viswas… - … on privatizing and …, 2021 - igi-global.com
Deep learning is the buzz word in recent times in the research field due to its various
advantages in the fields of healthcare, medicine, automobiles, etc. A huge amount of data is …

On Recent Security Issues in Machine Learning

MM Alani - 2020 International Conference on Software …, 2020 - ieeexplore.ieee.org
In recent years, applications of machine learning have grown rapidly in various areas. With
the accelerating rate of data generation, and recent developments in big data analytics …